학술논문

SE in ES: Opportunities for Software Engineering and Cloud Computing in Environmental Science
Document Type
Conference
Source
2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS) ICSE-SEIS Software Engineering: Software Engineering in Society (ICSE-SEIS), 2018 IEEE/ACM 40th International Conference on. :61-70 May, 2018
Subject
Computing and Processing
Computational modeling
Cloud computing
Biological system modeling
Meteorology
Computer architecture
Predictive models
Environmental Science
Model Driven Engineering
Cloud Comput ing
Environmental Modelling
WRF
Language
Abstract
New and emergent computing architectures and software engineering practices provide an opportunity for environmental models to be deployed more efficiently and democratically. In this paper we aim to capture the software engineering practices of environmental scientists, highlight opportunities for software engineering and work towards developing a domain specific language for the configuration and deployment of environmental models. We hold a series of interviews with environmental scientists involved in developing and deploying computer based environmental models about the approach taken in engineering models, and describe a case study in deploying an environmental model (WRF: Weather Research & Forecasting) on a cloud architecture. From these studies we find a number of opportunities for A) software engineering methods and tools such as Domain Specific Languages to play a role in abstracting from underlying computing complexity, and for B) new architectures to increase efficiency and availability of deployment. Together, we propose they will allow scientists to concentrate on fundamental science rather than specifics of the underlying computing.